Single-cell data
The data set from Tasic et al. encompasses 23,822 cells from adult mouse cortex, split by the authors into 133 clusters with strong hierarchical organisation. A standard preprocessing pipeline consisting of sequencing depth normalisation, feature selection, log-transformation, and reducing the dimensionality to 50 PCs was applied as described by Kobak & Berens in The art of using t-SNE for single-cell transcriptomics.
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@@ -440,17 +401,38 @@ plot(res_KODAMA_tSNE,pch=21,bg=ta[,"cluster_color"],main="KODAMA", xlab= "First
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